{"id":"W2323050281","doi":"10.5751/es-07289-200142","title":"The role of social learning for social-ecological systems in Korean village groves restoration","year":2015,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mario Einaudi Center for International Studies","keywords":"Social learning; Psychological resilience; Context (archaeology); Government (linguistics); Industrialisation; Corporate governance; Social ecology; Geography; Environmental resource management; Sociology; Political science; Psychology; Business; Social psychology; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007699633,0.00005056271,0.0001213724,0.000003723052,0.0004171435,0.0000162567,0.00007074681,0.0001456397,0.00001178431],"category_scores_gemma":[0.0000247568,0.0000335642,0.00004161792,0.00004895013,0.00006435876,0.00007143727,0.00005776871,0.00007304321,0.000006822722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006369394,"about_ca_system_score_gemma":0.000009866407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000127683,"about_ca_topic_score_gemma":0.001357362,"domain_scores_codex":[0.9994299,0.0001098416,0.0001404577,0.0001079973,0.00006217875,0.0001495923],"domain_scores_gemma":[0.9997203,0.0001330271,0.00008675613,0.00002878266,0.000008644191,0.00002246815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007034899,0.0001030432,0.9587722,0.0000439916,0.00003925122,7.994391e-7,0.0281103,0.0009988506,0.001109563,0.004934003,0.004761398,0.001056239],"study_design_scores_gemma":[0.0007801653,0.0002244591,0.9232613,0.000002830885,0.00001505983,0.00000168426,0.02652635,0.01945325,0.000067156,0.003334351,0.02621431,0.0001190498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973061,0.0000981244,0.000005304777,0.000311021,0.00009579542,0.0001574142,0.000001674466,0.000009786565,0.002014786],"genre_scores_gemma":[0.9997255,0.00002440748,0.0000183367,0.00004465547,0.00007346393,0.00003557089,0.000005331614,0.000003101505,0.0000695987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03551087,"threshold_uncertainty_score":0.3208372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131585387985682,"score_gpt":0.2323408461962441,"score_spread":0.2191823073976759,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}